Job
Description
Role & responsibilities A results-driven AI/ML Engineer with a strong foundation in machine learning, deep learning, and data science. Skilled in designing, developing, and deploying intelligent solutions that solve real-world problems across domains such as customer experience, natural language processing, and predictive analytics. Proficient in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, Azure). Experienced in building scalable models, fine-tuning large language models (LLMs), and applying AI to optimize user engagement and business outcomes. Design and implement machine learning models for classification, regression, clustering, and NLP tasks. Build data pipelines for training and inference using structured and unstructured data. Fine-tune pre-trained models (e.g., BERT, GPT, LLaMA, Whisper, RNNoise) for domain-specific tasks. Develop APIs and interfaces to serve AI/ML models at scale (e.g., using FastAPI, Flask, TensorFlow Serving). Collaborate with data engineers to ensure data availability, quality, and consistency. Conduct A/B testing, model validation, and monitor model performance in production. Research and integrate state-of-the-art ML and deep learning techniques. Work with cloud platforms (AWS/GCP/Azure) and MLOps tools for model deployment and lifecycle management. Familiarity with the customer experience domain is a strong advantage 5-10 years of experience. Interested candidates are requested to share their updated CV at deepak.singh@moksatechnologies.com along with the following details: Total Experience: Current CTC: Expected CTC: Current Location: Notice Period:
